Bibliographic record
Abstract
« Tout ce qui entre dans le cerveau, a part le sang, est de l'information. Porter atteinte a l'information, c'est porter atteinte au cerveau. »Base sur les plus recentes decouvertes scientifiques, le Manifeste pour le droit a l'information etablit les fondements biologiques de ce droit et affirme la necessite de le reconnaitre comme un droit fondamental antinomique de la traditionnelle liberte de presse. Une analyse detaillee des textes legislatifs canadiens et quebecois ainsi que de nos structures mediatiques prouve que la jouissance de ce droit est loin d'etre garantie. S'inspirant de legislations etrangeres, des rares decisions jurisprudentielles et de reconnaissances partielles dans certaines lois specifiques, l'ouvrage plaide pour une veritable institutionnalisation de ce droit afin d'instaurer un authentique regime democratique.Le Manifeste pour le droit a l'information s'adresse a tous, qu'ils soient journalistes, juristes ou citoyens soucieux de la qualite de l'information qui leur est quotidiennement livree.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.025 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".